The Network Nullspace Property for Compressed Sensing of Big Data Over Networks. - Alexander Jung; Madelon Hulsebos (Frontiers Appl. Math. Stat., 2018)

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. - Kevin Zeng Hu; Snehalkumar (Neil) S. Gaikwad; Madelon Hulsebos; Michiel A. Bakker; Emanuel Zgraggen; César A. Hidalgo 001; Tim Kraska; Guoliang Li 001; Arvind Satyanarayan; Çagatay Demiralp (CHI, 2019)

Sherlock: A Deep Learning Approach to Semantic Data Type Detection. - Madelon Hulsebos; Kevin Zeng Hu; Michiel A. Bakker; Emanuel Zgraggen; Arvind Satyanarayan; Tim Kraska; Çagatay Demiralp; César A. Hidalgo 001 (KDD, 2019)

Sato: Contextual Semantic Type Detection in Tables. - Dan Zhang 025; Yoshihiko Suhara; Jinfeng Li; Madelon Hulsebos; Çagatay Demiralp; Wang-Chiew Tan (Proc. VLDB Endow., 2020)

Results of SemTab 2021. - Vincenzo Cutrona; Jiaoyan Chen 001; Vasilis Efthymiou; Oktie Hassanzadeh; Ernesto Jiménez-Ruiz; Juan Sequeda; Kavitha Srinivas; Nora Abdelmageed; Madelon Hulsebos; Daniela Oliveira 002; Catia Pesquita (SemTab@ISWC, 2021)

Augmenting Decision Making via Interactive What-If Analysis. - Sneha Gathani; Madelon Hulsebos; James Gale; Peter J. Haas; Çagatay Demiralp (CIDR, 2022)

Making Table Understanding Work in Practice. - Madelon Hulsebos; Sneha Gathani; James Gale; Isil Dillig; Paul Groth; Çagatay Demiralp (CIDR, 2022)

GitSchemas: A Dataset for Automating Relational Data Preparation Tasks. - Till Döhmen; Madelon Hulsebos; Christian Beecks; Sebastian Schelter (ICDE Workshops, 2022)

Results of SemTab 2022. - Nora Abdelmageed; Jiaoyan Chen 001; Vincenzo Cutrona; Vasilis Efthymiou; Oktie Hassanzadeh; Madelon Hulsebos; Ernesto Jiménez-Ruiz; Juan Sequeda; Kavitha Srinivas (SemTab@ISWC, 2022)

Results of SemTab 2023. - Oktie Hassanzadeh; Nora Abdelmageed; Vasilis Efthymiou; Jiaoyan Chen 001; Vincenzo Cutrona; Madelon Hulsebos; Ernesto Jiménez-Ruiz; Aamod Khatiwada; Keti Korini; Benno Kruit; Juan Sequeda; Kavitha Srinivas (SemTab@ISWC, 2023)

Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM). - Matthias Boehm 001; Madelon Hulsebos; Shreya Shankar; Paroma Varma (SIGMOD Conference Companion, 2023)

Models and Practice of Neural Table Representations. - Madelon Hulsebos; Xiang Deng 001; Huan Sun 001; Paolo Papotti (SIGMOD Conference Companion, 2023)

AdaTyper: Adaptive Semantic Column Type Detection. - Madelon Hulsebos; Paul Groth; Çagatay Demiralp (CoRR, 2023)

GitTables: A Large-Scale Corpus of Relational Tables. - Madelon Hulsebos; Çagatay Demiralp; Paul Groth (Proc. ACM Manag. Data, 2023)

Observatory: Characterizing Embeddings of Relational Tables. - Tianji Cong; Madelon Hulsebos; Zhenjie Sun; Paul Groth; H. V. Jagadish (Proc. VLDB Endow., 2023)

It Took Longer than I was Expecting: Why is Dataset Search Still so Hard? - Madelon Hulsebos; Wenjing Lin; Shreya Shankar; Aditya G. Parameswaran (HILDA@SIGMOD, 2024)

Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM). - Madelon Hulsebos; Matteo Interlandi; Shreya Shankar (SIGMOD Conference Companion, 2024)

SPADE: Synthesizing Assertions for Large Language Model Pipelines. - Shreya Shankar; Haotian Li 001; Parth Asawa; Madelon Hulsebos; Yiming Lin; J. D. Zamfirescu-Pereira; Harrison Chase; Will Fu-Hinthorn; Aditya G. Parameswaran; Eugene Wu 002 (CoRR, 2024)

Towards Accurate and Efficient Document Analytics with Large Language Models. - Yiming Lin; Madelon Hulsebos; Ruiying Ma; Shreya Shankar; Sepanta Zeighami; Aditya G. Parameswaran; Eugene Wu 002 (CoRR, 2024)

SchemaPile: A Large Collection of Relational Database Schemas. - Till Döhmen; Radu Geacu; Madelon Hulsebos; Sebastian Schelter (Proc. ACM Manag. Data, 2024)

SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines. - Shreya Shankar; Haotian Li 001; Parth Asawa; Madelon Hulsebos; Yiming Lin; J. D. Zamfirscu-Pereira; Harrison Chase; Will Fu-Hinthorn; Aditya G. Parameswaran; Eugene Wu 002 (Proc. VLDB Endow., 2024)

Querying Templatized Document Collections with Large Language Models. - Yiming Lin; Madelon Hulsebos; Ruiying Ma; Shreya Shankar; Sepanta Zeighami; Aditya G. Parameswaran; Eugene Wu 002 (ICDE, 2025)

Ninth Workshop on Data Management for End-to-End Machine Learning (DEEM). - Stefan Grafberger; Madelon Hulsebos; Matteo Interlandi; Shreya Shankar (SIGMOD Conference Companion, 2025)

How well do LLMs reason over tabular data, really? - Cornelius Wolff; Madelon Hulsebos (CoRR, 2025)

TARGET: Benchmarking Table Retrieval for Generative Tasks. - Xingyu Ji; Parker Glenn; Aditya G. Parameswaran; Madelon Hulsebos (CoRR, 2025)

Rethinking Dataset Discovery with DataScout. - Rachel Lin; Bhavya Chopra; Wenjing Lin; Shreya Shankar; Madelon Hulsebos; Aditya G. Parameswaran (CoRR, 2025)